We extract tour listings, dynamic pricing, availability calendars, operator intelligence, and verified reviews from GetYourGuide. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Tour Listings objects from getyourguide.com. All fields typed and schema-versioned.
"tour_id": "39281", "title": "Louvre Museum Skip-the-Line Access Tour", "location": "Paris, France", "duration": "3 hours", "rating": 4.8, "review_count": 14290, "base_price": 65.0, "currency": "EUR"
| # | tour_id | title | location | category | duration | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from getyourguide.com. All fields typed and schema-versioned.
"tour_id": "39281", "date": "2026-08-15", "time_slot": "09:30:00", "ticket_type": "Adult", "price": 65.0, "currency": "EUR", "availability_status": "AVAILABLE", "remaining_spots": 12
| # | tour_id | date | time_slot | ticket_type | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from getyourguide.com. All fields typed and schema-versioned.
"review_id": "RV-9928174", "tour_id": "39281", "rating": 5, "review_date": "2026-05-10", "traveler_type": "Couples", "country": "United Kingdom", "helpful_votes": 14
| # | review_id | tour_id | reviewer_name | rating | review_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operator Data objects from getyourguide.com. All fields typed and schema-versioned.
"operator_id": "OP-4412", "operator_name": "Paris City Vision", "total_tours": 48, "average_rating": 4.6, "review_count": 85400, "response_rate": 98.5, "languages_spoken": "['English', 'French', 'Spanish']"
| # | operator_id | operator_name | total_tours | average_rating | review_count | response_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from getyourguide.com. All fields typed and schema-versioned.
"keyword": "museum tours", "location": "Paris", "position": 1, "tour_id": "39281", "rating": 4.8, "base_price": 65.0, "badge_type": "Originals by GetYourGuide"
| # | keyword | location | position | tour_id | title | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our GetYourGuide scraper handles dynamic calendars, complex pricing tiers, and deep pagination with anti-bot circumvention built directly into the pipeline.
Title, description, itinerary, highlights, inclusions, exclusions, and meeting points scraped at the individual tour level.
Extract ticket tiers, date-specific pricing, and real-time availability calendars across a rolling 365-day window.
Scrape text, rating, traveler type, and date across paginated review sections to analyse customer sentiment.
Track operator portfolios, aggregate ratings, and response metrics to evaluate supplier performance.
Extract exact latitude and longitude coordinates for starting locations and points of interest.
Capture pricing in EUR, USD, GBP and other supported currencies alongside localized descriptions.
Map activities to specific tags like Culture, Adventure, or Skip-the-line to build precise catalogues.
Track ranking positions for specific destination pages and keyword searches to monitor visibility.
Configure continuous pipelines at daily or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide destination URLs, category pages, or operator IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for getyourguide.com.
Schema validation, null-rate checks, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators rely heavily on dynamic availability and bot protection. Here is how we build resilient extraction pipelines.
GetYourGuide employs strict rate limiting and bot detection. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Availability calendars and pricing tiers load dynamically. We run full Playwright browser sessions with JavaScript execution to trigger API calls and hydrate pricing widgets.
DOM structures shift frequently. Our strategy uses multiple fallback chains per field, including CSS selectors, XPath, and LD+JSON extraction.
For large activity catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and storage bloat.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops.
Online travel agencies monitor pricing and availability to ensure competitiveness and detect parity violations.
Tour operators track competitor pricing, review velocity, and itinerary changes to optimise their own offerings.
Tourism boards and analysts evaluate destination popularity, average pricing, and seasonal demand fluctuations.
Revenue managers analyse availability calendars to forecast demand and adjust dynamic pricing models.
Machine learning teams ingest structured itineraries and reviews to train conversational travel assistants.
Aggregators evaluate supplier performance by tracking review scores, cancellation policies, and response rates.
"GetYourGuide holds the definitive graph of global experiences and availability but extracting it requires navigating aggressive rate limits and dynamic calendars."
Most travel data teams underestimate the investment required: reliable GetYourGuide scraping requires residential proxies, full JavaScript rendering for availability calendars, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on yield analysis instead of infrastructure.
Everything supported by our getyourguide.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering, cookie sessions, and calendar interaction flows.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About getyourguide.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated tour, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use full Playwright browser sessions to execute JavaScript, triggering the API calls necessary to hydrate the calendar widgets and extract date-specific pricing.
Yes. We can configure the crawler session to request pricing in EUR, USD, GBP, or other supported currencies as required.
Real-time streaming pipelines achieve sub-60-minute latency for availability signals. Full destination refreshes at daily cadence complete within an 8-hour window.
Yes. We parse the embedded map data to extract precise latitude and longitude coordinates for tour starting locations.
Our smallest packages start at a defined URL list or specific destination categories with weekly delivery. We price based on volume and delivery frequency.
Yes. We handle deep pagination across the review corpus, extracting ratings, text, traveler types, and dates.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off destination catalogue dump or a continuous availability monitoring feed, we scope, build, and operate the pipeline.
